Online harassment is entering its AI era
März 5, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)Scott Shambaugh didn’t think twice when he denied an AI agent’s request to contribute to...
One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient
Oktober 1, 2025admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2509.26313v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) is the predominant method for adapting large...
One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models
August 5, 2025admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2505.07167v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have been extensively used across diverse...
One Token Is Enough: Improving Diffusion Language Models with a Sink Token
Februar 23, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2601.19657v3 Announce Type: replace Abstract: Diffusion Language Models (DLMs) have emerged as a compelling alternative...
One Joke to Rule them All? On the (Im)possibility of Generalizing Humor
August 28, 2025admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2508.19402v1 Announce Type: new Abstract: Humor is a broad and complex form of communication that...
On the Reliability of Large Language Models for Causal Discovery
Oktober 13, 2025admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2407.19638v2 Announce Type: replace Abstract: This study investigates the efficacy of Large Language Models (LLMs)...
On the generalization of language models from in-context learning and finetuning: a controlled study
Mai 8, 2025admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2505.00661v2 Announce Type: replace Abstract: Large language models exhibit exciting capabilities, yet can show surprisingly...
On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models
März 2, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2512.13352v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are prone to memorizing training data...
OmniGAIA: Towards Native Omni-Modal AI Agents
Februar 28, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)arXiv:2602.22897v1 Announce Type: cross Abstract: Human intelligence naturally intertwines omni-modal perception — spanning vision, audio...
